7 дней назад
Analytics Engineer (UK Cards)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer (UK Cards) (SQL/dbt/Snowflake): Building and improving analytical data models and transformation pipelines for lending decisions, pricing, portfolio analysis, and investor reporting with an accent on data quality, scalability, and maintainability. Focus on designing reliable analytical datasets, resolving pipeline issues, and strengthening the data warehouse as a strategic business asset.
Location: London, United Kingdom; hybrid schedule with the option to work from home on Mondays and Fridays
Company
is a fintech company building technology for consumer lending, credit cards, and car finance across the UK and US.
What you will do
- Build and improve data models supporting lending decisions, pricing, portfolio analysis, and investor reporting.
- Develop and maintain robust ELT transformation pipelines for analytical datasets.
- Collaborate with analysts, product teams, backend engineers, and business stakeholders to translate requirements into reliable data solutions.
- Support analysts at different technical levels and promote analytics engineering standards.
- Triage pipeline issues and improve the efficiency, reliability, and cost-effectiveness of data transformations.
Requirements
- Strong analytics engineering fundamentals and data modelling skills.
- Experience with ELT pipelines and transformation at scale, ideally using dbt.
- Experience with Snowflake or another modern cloud data warehouse.
- Ability to communicate technical trade-offs clearly to technical and non-technical stakeholders.
- Proactive, collaborative approach to improving data workflows.
- Comfort using AI tools to improve analytical and engineering workflows.
Culture & Benefits
- Hybrid working with home working available on Mondays and Fridays.
- Office-based collaboration from Tuesday to Thursday.
- Private health insurance and support for physical and mental well-being.
- Equity and competitive compensation.
- Fresh lunches prepared by in-house chefs on office days.
Hiring process
- Initial call with an engineer.
- 15-minute cognitive assessment and 30-minute hiring manager discussion.
- 60-minute technical interview followed by a 60-minute culture interview.
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